Senior AI/ML Engineer

1 week ago

Bengaluru, Karnataka, India Takeda Full time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our team at Takeda's Innovation Capability Center in Bengaluru. As a key member of our digital transformation journey, you will be responsible for designing and implementing cutting-edge AI/ML solutions to drive business growth and improve patient outcomes.

Key Responsibilities

  • Act as a trusted advisor and internal Gen AI consultant to functional stakeholders and internal Takeda Business Units and Business Functions for data science activities.
  • Lead Gen AI use cases and operationalization on complex projects with diverse scope, including primary contact for internal liaison with Global Data, Team, and other parts of the GDD&T and BU/BF functions.
  • Design and build RAG service platform orchestrations, including prompt engineering, guardrails, vector databases, and API Grounding.
  • Design, develop, and implement MLOps pipelines for Generative AI models, covering data ingestion, preprocessing, training, deployment, and monitoring.
  • Automate ML tasks using GitOps, CI/CD pipelines, and containerization tools like Docker and Kubernetes.
  • Design and drive the development of models and analytical tools and productionize them within models hosted in Azure Open AI, AWS Sagemaker, Salesforce, or equivalent large language models on a modern containerized deployment stack.
  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL) and tools (AWS SageMaker, Dataiku, Databricks, etc.). This is a hands-on role; you must code 50%-70% of your time.
  • Performs business readiness check, data access and quality check, and hands-on exploratory data analysis to gauge the need for or appropriateness of analytical modeling.
  • Acts as central steward of data quality monitor risks through the holistic review of clinical and operational data, uses detailed knowledge of the protocol, considers the specific therapeutic area aspects related to the data collected, and aligns with cross-functional operational plans to drive comprehensive data science modeling tasks.
  • Partner with the centralized Demand Management team and GDD&T to monitor and communicate project progress to the sponsor and project team, including using project status reports and tracking tools/metrics.
  • Manage external ML engineers and vendors responsible for building and maintaining ML Pipeline solutions.
  • Performs other work-related duties as assigned. Minimal travel may be required (up to 25%).

Requirements

  • Bachelor's degree in Technical Disciplines (Computer Science, Data Science, Information Technology, Economics, Physics, Mathematics or equivalent). A master's or PhD degree is highly preferred.
  • Overall 5+ years of experience in data, business insights, and ML experience in Life Sciences, primarily in commercial (sales, marketing, medical, and access) functions.
  • Deep understanding of modern data technologies, data architecture principles, AI/machine learning, GenAI, and similar technologies.
  • For a master's or a PhD, a minimum of 3 years of Machine Learning or Data Science experience in Technology companies, Life Sciences, Pharma, or Biotech is expected.
  • Knowledge of medical terminology, clinical data, and commercial pharma data sources for clinical studies, particularly requirements applicable to Clinical Data Sciences.
  • Experience with Generative AI, including transformers or LLM project work with frameworks, including Huggingface, LangChain, or GPT.
  • 2+ years of experience applying large language and generative AI models, including transformers and GPT models.
  • Experience in building chatbots, retrieval augmented generation, and finetuning LLMs.
  • Experience building production-grade ML/automation pipelines from scratch (model versioning, lineage, monitoring, deployment, optimization, scalability, orchestration, and continuous learning).
  • Proficient in Python, SQL, Git, and Jenkins and in frameworks such as sci-kit-learn, Keras, PyTorch, Tensorflow, etc.
  • Experience in using MLOps frameworks like Kubeflow, MLFlow, and DataRobot.
  • Experience with DataBricks, Dataiku AWS SageMaker, Azure, and data pipeline management tools like Airflow.
  • Minimum 3 years of experience automating ML build, training, evaluating, and deploying ML models.
  • Minimum 3 years of experience designing and implementing cloud solutions (AWS, Azure, or GCP).
  • Knowledge of pharma commercial analytical models and domains.
  • Self-starter with the ability to work independently.
  • Strong team player with excellent communication skills.
  • Exceptional troubleshooting and problem-solving abilities.

About Takeda

Takeda is a leading global pharmaceutical company committed to bringing innovative medicines to patients worldwide. Our Innovation Capability Center in Bengaluru is a key hub for our digital transformation journey, and we are seeking talented individuals like you to join our team.

What We Offer

  • Competitive salary and performance-based annual bonus.
  • Flexible work environment, including hybrid working.
  • Comprehensive healthcare insurance plans for self, spouse, and children.
  • Group term life insurance and group accident insurance programs.
  • Health and wellness programs, including annual health screening and weekly health sessions for employees.
  • Employee assistance program.
  • Three days of leave every year for voluntary service, in addition to humanitarian leaves.
  • Broad variety of learning platforms.
  • Diversity, equity, and inclusion programs.
  • Reimbursements for home internet and mobile phone.
  • Employee referral program.
  • Leaves for paternity, maternity, and bereavement.

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